code: def test_ahnet_shape_3d(
      self, input_param, input_shape, expected_shape
  ):
      net = AHNet(**input_param).to(device)
      with eval_mode(net):
          result = net.forward(torch.randn(input_shape).to(device))
          self.assertEqual(result.shape, expected_shape)
  
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.blocks import FCN, MCFCN
  from monai.networks.nets import AHNet
  from tests.utils import skip_if_quick, test_pretrained_networks, test_script_save
label_desc: Use image node_id 2 for calling the TestAHNET obj's underlying member method code with example usage: obj.test_ahnet_shape_3d(input_param, input_shape, expected_shape) without return types